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Open AccessExtended Abstract

Mathematical Modeling of Vegetation Heterogeneity and Complex Topography Effects on Turbulent Exchange of GHG within the Atmospheric Surface Layer

1
Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia
2
A.N. Severtsov Institute of Ecology and Evolution of RAS, 119071 Moscow, Russia
3
Faculty of Geography, Lomonosov Moscow State University, 119991 Moscow, Russia
*
Author to whom correspondence should be addressed.
Presented at Environment, Green Technology and Engineering International Conference (EGTEIC 2018), Caceres, Spain, 18–20 June 2018.
Proceedings 2018, 2(20), 1310; https://doi.org/10.3390/proceedings2201310
Published: 17 October 2018
The local-scale 2D and 3D models of greenhouse gases (GHG) exchange between a non-uniform land surface and the atmosphere were developed. They are based on solution of the system of averaged Navier-Stokes, continuity and diffusion-advection equations. For numerical solution of the differential equations the stable finite-difference schemes were suggested. The models were applied to derive effects of complex topography and vegetation heterogeneity on 2D-3D air flow patterns, as well as on CO2 exchange within the atmospheric surface layer. Several numerical experiments were also provided to describe the air-flow re-establishing after its interaction with some obstacle (e.g., forest edge). Quantitative criteria for selection of the experimental sites for continuous eddy covariance flux measurements characterized by minimum effects of horizontal advection on measured fluxes were suggested.
Keywords: atmospheric surface layer; GHG turbulent transfer; 2D and 3D hydrodynamic models; 1.5-closere scheme atmospheric surface layer; GHG turbulent transfer; 2D and 3D hydrodynamic models; 1.5-closere scheme
MDPI and ACS Style

Mukhartova, I.; Krupenko, A.; Mangura, P.; Olchev, A. Mathematical Modeling of Vegetation Heterogeneity and Complex Topography Effects on Turbulent Exchange of GHG within the Atmospheric Surface Layer. Proceedings 2018, 2, 1310.

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